STEDNet: Swin transformer‐based encoder–decoder network for noise reduction in low‐dose CT

Background Low‐dose computed tomography (LDCT) can reduce the dose of X‐ray radiation, making it increasingly significant for routine clinical diagnosis and treatment planning. However, the noise introduced by low‐dose X‐ray exposure degrades the quality of CT images, affecting the accuracy of clini...

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Veröffentlicht in:	Medical physics (Lancaster) Jg. 50; H. 7; S. 4443 - 4458
Hauptverfasser:	Zhu, Linlin, Han, Yu, Xi, Xiaoqi, Fu, Huijuan, Tan, Siyu, Liu, Mengnan, Yang, Shuangzhan, Liu, Chang, Li, Lei, Yan, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.07.2023
Schlagworte:	Algorithms deep learning encoder–decoder Image Processing, Computer-Assisted - methods low‐dose CT Radiation Dosage Signal-To-Noise Ratio Swin transformer Tomography, X-Ray Computed - methods low-dose CT Swin transformer deep learning encoder-decoder
ISSN:	0094-2405, 2473-4209, 2473-4209
Online-Zugang:	Volltext
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